ML-CDS 2017: Multimodal Learning for Clinical Decision Support

Papers will be published in a volume of Springer LNCS series (MICCAI 2017 Workshops Volume)

ML-CDS 2017 builds on the success of the last four events in this series. We are looking for high-quality submissions that address innovative research and development in the learning methods using multimodal medical data. Applications in clinical decision support and treatment planning are of highest interest. Experts in quantitative imaging, text analytics, and decision support systems will present to an audience of scientists and clinicians. Advances in the development and use of deep learning methods with medical imaging and text data are expected to be among major topics of submission and discussion at the event.